EP1464435A1 - Verfahren zur Qualitätskontrolle eines industriellen Laserprozesses - Google Patents

Verfahren zur Qualitätskontrolle eines industriellen Laserprozesses Download PDF

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Publication number
EP1464435A1
EP1464435A1 EP03016994A EP03016994A EP1464435A1 EP 1464435 A1 EP1464435 A1 EP 1464435A1 EP 03016994 A EP03016994 A EP 03016994A EP 03016994 A EP03016994 A EP 03016994A EP 1464435 A1 EP1464435 A1 EP 1464435A1
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EP
European Patent Office
Prior art keywords
signals
signal
quality
processing
detecting means
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP03016994A
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English (en)
French (fr)
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EP1464435B1 (de
Inventor
Giuseppe D'angelo
Giorgio Pasquettaz
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Centro Ricerche Fiat SCpA
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Centro Ricerche Fiat SCpA
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K26/00—Working by laser beam, e.g. welding, cutting or boring
    • B23K26/02—Positioning or observing the workpiece, e.g. with respect to the point of impact; Aligning, aiming or focusing the laser beam
    • B23K26/03—Observing, e.g. monitoring, the workpiece
    • B23K26/032—Observing, e.g. monitoring, the workpiece using optical means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
    • B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
    • B23K31/125—Weld quality monitoring

Definitions

  • the present invention relates to methods for controlling the quality of industrial laser processes, comprising the following steps:
  • control system can evaluate the presence of porosities in the welding area or, in the case of butt-coupled thin metal sheets, the presence of faults due to sheet overlapping or separation. Similar systems have also been used for controlling the quality of laser cutting operations.
  • the drawback of the systems used until today consists in that quality control is based on a comparison between the signals detected during the process and one or more predefined reference signals indicating a good quality process.
  • Said reference signals usually varying from two to ten, are prepared starting from several samples of good quality processes. Obviously, said procedure implies the presence of a skilled operator who can certify the good quality of the process when reference signals are being created, requires time and sometimes involves waste of material (which is used to carry out the samples required in order to obtain reference signals). In some cases reference signals indicating a process with faults are also prepared, which involves further problems and difficulties.
  • the aim of the present invention is to overcome all the aforesaid drawbacks.
  • the object of the invention is a method for controlling the quality of an industrial laser process, having the characteristics referred to at the beginning and further characterized in that said step of processing the signals includes the operations of calculating coefficients of discrete wavelet transform with respect to a plurality of scale values, thus obtaining a plurality of transformed signals, and of processing said transformed signals so as to obtain one or more values representing the quality of the process, so that the control of process quality can be carried out only on the basis of the signal thus processed, without the need for a comparison with a predefined reference signal corresponding to a good quality process.
  • said step of processing the transformed signals includes the operations of calculating for each signal belonging to the plurality of transformed signals a total standard deviation; splitting up each signal belonging to the set of transformed signals into blocks in the time domain and calculating a standard deviation on each of said blocks, thus obtaining values of standard block deviation; converting said plurality of transformed signals into a plurality of binary signals through a step of comparison between their total standard deviation and standard block deviation; carrying out a step of sum sample by sample of all signals belonging to said plurality of binary signals, thus obtaining a sum value; using said sum value as value representing process quality, by comparing said sum value with error ranges so as to generate an error signal defining process quality.
  • Another object of the invention is also the system for controlling the quality of a laser process implementing the method described above, as well as the corresponding data processing product that can be uploaded directly into the storage unit of a numeric processing unit such as a processor and comprising portions of software code so as to carry out the method according to the invention when the product is executed on a processing unit.
  • a numeric processing unit such as a processor and comprising portions of software code so as to carry out the method according to the invention when the product is executed on a processing unit.
  • the numeral 1 globally refers to a system for controlling the quality of a laser process, for instance a laser welding process.
  • the example refers to the case of two sheets 2, 3 welded by means of a laser beam.
  • the numeral 4 globally refers to the focusing head, comprising a lens 5 reached by the laser beam generated by a laser generator (not shown) and reflected by a semi-reflecting mirror 6, after going through a lens L.
  • the radiation E emitted by the welding area goes through the reflecting mirror 6 and is detected by a sensor 7 comprising a photodiode that can send its output signal to an electronic control and processing unit 8 associated to a personal computer 9.
  • the semi-reflecting mirror 6 used was a ZnSe mirror, with a diameter of 2 inches, thickness 5 mm.
  • the sensor 7 was a photodiode with spectral sensitivity of 190 to 1100 nm, an active area of 1.1x1.1 mm and a quartz window.
  • FIG. 2 shows in further detail the electronic control and processing unit 8 associated to the personal computer 9.
  • Said processing unit 8 comprises an antialiasing filter 11 acting onto the signal sent by the sensor 7, then it is provided for an acquisition card 12 equipped with an analogical-digital converter, which samples the filtered signal and converts it into the numeric mode.
  • Said acquisition card 12 is preferably associated directly to the personal computer 9.
  • the acquisition card 12 collects the signal emitted by the sensor 7 at a frequency above 2 16 Hertz.
  • the acquisition card 12 is a data acquisition card type PC card NI 6110E, with maximum collection frequency of 5 Ms/sec.
  • the antialiasing filter 11 filters the signal by means of a band-pass filter (for instance a filter IIR Butterworth) between 4 kHz and 10 kHz.
  • a band-pass filter for instance a filter IIR Butterworth
  • the personal computer 9 is implemented a quality control process based on a wavelet test of the collected signal.
  • a wavelet test procedure is a test procedure such as Fourier and Short-Time Fourier (STFT), tests, which envisages to carry out a transform operation on the signal in the time domain f(t) such as: where C refers to a transform coefficient, a to a scale parameter, b to a position parameter and Y to a wavelet function.
  • STFT Short-Time Fourier
  • the wavelet test is usually carried out by choosing a wavelet function Y, which preferably maximizes the value of the coefficients C, and by applying said wavelet function Y to a first portion of the signal f(t). Said operation is then repeated by moving by means of position parameter b the wavelet function Y on time axis until the whole length of the signal f(t) is covered. The operation is then repeated by varying scale parameter a on a set of previously selected values.
  • a set of coefficients C is obtained as a function of scale a and position b parameters, which set is usually represented on a three-dimensional graph having on the abscissa time, on the ordinate the value of scale parameter a and on the coordinate z the values of coefficients C.
  • the discrete wavelet function ⁇ obtained is of the type:
  • the wavelet transformation DWT can be efficiently implemented by means of an iterated filter bank, which carries out a sub-band coding.
  • Said filters can be implemented through a DSP or merely via software.
  • the method according to the invention envisages to process the signal collected by a sensor through a discrete wavelet test, thus obtaining various transformed signals corresponding to the application of different scale parameters. Said transformed signals are then processed so as to define an error function and to evaluate the quality of the laser process.
  • Figure 3 is a block diagram showing the method for quality control according to the invention, in which the collected signal A, sampled at a frequency above 2 16 Hertz and having therefore a number N, N being an integer, of samples of the collected signal A getting into the personal computer 9, undergoes a noise purging step, referred to by a block 100, by means of a first specific operation of wavelet transformation involving a number of scales used corresponding to log 2 N.
  • the system according to the invention can identify welding faults without a comparison with reference signals indicating a good quality welding, but only on the basis of an analysis of the signal obtained during the real process.
  • the sum signal takes on values lower than 4S/4, the lower the values the more relevant the fault is.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Mechanical Engineering (AREA)
  • Plasma & Fusion (AREA)
  • Quality & Reliability (AREA)
  • Laser Beam Processing (AREA)
  • Electrotherapy Devices (AREA)
  • Circuits Of Receivers In General (AREA)
  • Crystals, And After-Treatments Of Crystals (AREA)
  • Lasers (AREA)
EP03016994A 2003-04-04 2003-07-25 Verfahren zur Qualitätskontrolle eines industriellen Laserprozesses Expired - Lifetime EP1464435B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ITTO20030263 2003-04-04
IT000263A ITTO20030263A1 (it) 2003-04-04 2003-04-04 Procedimento per il controllo della qualita' di un

Publications (2)

Publication Number Publication Date
EP1464435A1 true EP1464435A1 (de) 2004-10-06
EP1464435B1 EP1464435B1 (de) 2008-03-26

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP03016994A Expired - Lifetime EP1464435B1 (de) 2003-04-04 2003-07-25 Verfahren zur Qualitätskontrolle eines industriellen Laserprozesses

Country Status (5)

Country Link
EP (1) EP1464435B1 (de)
AT (1) ATE390238T1 (de)
DE (1) DE60319949T2 (de)
ES (1) ES2302884T3 (de)
IT (1) ITTO20030263A1 (de)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8212175B2 (en) * 2005-09-22 2012-07-03 C.R.F. Società Consortile Per Azioni Method for controlling the quality of laser-welding processes, control system an program product therefor
CN102704215A (zh) * 2012-04-24 2012-10-03 东南大学 基于dst文件解析与机器视觉结合的绣布自动切割方法
CN105171234A (zh) * 2015-10-23 2015-12-23 佛山市南海区广工大数控装备协同创新研究院 机器人激光焊接离焦量自动调整装置及其自动调整方法
WO2019206339A1 (zh) * 2018-04-28 2019-10-31 深圳市创鑫激光股份有限公司 激光器的工作方法、准连续激光器、激光切割和焊接系统
US11680867B2 (en) 2004-06-14 2023-06-20 Wanda Papadimitriou Stress engineering assessment of risers and riser strings
US11710489B2 (en) 2004-06-14 2023-07-25 Wanda Papadimitriou Autonomous material evaluation system and method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1275464A1 (de) * 2001-07-13 2003-01-15 C.R.F. Società Consortile per Azioni System zur Kontrolle der Qualität einer Laserschweissung

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1275464A1 (de) * 2001-07-13 2003-01-15 C.R.F. Società Consortile per Azioni System zur Kontrolle der Qualität einer Laserschweissung

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11680867B2 (en) 2004-06-14 2023-06-20 Wanda Papadimitriou Stress engineering assessment of risers and riser strings
US11710489B2 (en) 2004-06-14 2023-07-25 Wanda Papadimitriou Autonomous material evaluation system and method
US8212175B2 (en) * 2005-09-22 2012-07-03 C.R.F. Società Consortile Per Azioni Method for controlling the quality of laser-welding processes, control system an program product therefor
US9050685B2 (en) 2005-09-22 2015-06-09 C.R.F. SOCIETá CONSORTILE PER AZIONI Method for controlling the quality of laser-welding processes
CN102704215A (zh) * 2012-04-24 2012-10-03 东南大学 基于dst文件解析与机器视觉结合的绣布自动切割方法
CN105171234A (zh) * 2015-10-23 2015-12-23 佛山市南海区广工大数控装备协同创新研究院 机器人激光焊接离焦量自动调整装置及其自动调整方法
WO2019206339A1 (zh) * 2018-04-28 2019-10-31 深圳市创鑫激光股份有限公司 激光器的工作方法、准连续激光器、激光切割和焊接系统

Also Published As

Publication number Publication date
EP1464435B1 (de) 2008-03-26
ATE390238T1 (de) 2008-04-15
DE60319949T2 (de) 2009-04-09
ITTO20030263A1 (it) 2004-10-05
ES2302884T3 (es) 2008-08-01
DE60319949D1 (de) 2008-05-08

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